Reports
The objective of the Emergency Tracking Tool (ETT) is to collect information on large and sudden population movements. Information is collected through key informant interviews or direct observation. This dashboard provides information on movements which took place in the city of N’Djamena in August 2020. Following floods which have been occurring since early August 2020 in N’Djamena, 7,122 households (31,853 individuals) fled their homes located in 15 quartiers (7 arrondissements) of the city. They took refuge either elsewhere in their arrondissement, or in neighbouring arrondissements. Ten individuals died following the floods. It should be noted that 5,250 shelters have been destroyed. Most of the affected individuals are hosted by relatives, but some of them are currently without shelter. As of 25 August 2020, no assistance has been provided to meet their needs.
The DTM Emergency Event Tracking (EET) is deployed to track sudden displacement and population movements, and provide more frequent updates on the scale of displacement and quantify the affected population when needed. As a subcomponent of the new Mobility Tracking methodology in Sudan (Round One), and activated on a needs basis, EET utilises a broad network of key informants to capture best estimates of the affected population presence per location – a useful tool for humanitarian response planning and design.
The crisis in Nigeria’s North Central and North West zones, which involves long-standing tensions between ethnic and linguistic groups; attacks by criminal groups; and banditry/ hirabah (such as kidnapping and grand larceny along major highways) led to fresh wave of population displacement. Latest attacks affected 1,360 individuals, including 59 injuries and 21 fatalities, in Dan Musa, Faksari LGAs of Katsina State, Zagon Kataf LGA of Kaduna State and Bakura LGA of Zamfara State between the 17 - 23 August, 2020. While 2,396 individuals were displaced due to flooding in Katsina and Zamfara States. The attacks caused people to flee to neighboring localities. A rapid assessment was conducted by field staff to assess the impact on people and immediate needs.
This Middle East and North Africa (MENA) report summarizes mobility restrictions at airports, land, and blue border crossing points resulting from the mitigation measures implemented in response to the COVID-19 pandemic
IOM DTM in collaboration with the World Health Organization (WHO) and the state Ministry of Health have been conducting monitoring of individuals moving into Nigeria's conflict-affected northeastern states of Adamawa and Borno under pillar four (Points of entry) of COVID 19 preparedness and response planning guidelines. During the period 15 - 21 August 2020, 63 movements were observed at Seven Points of Entries in Adamawa and Borno states. Of the total movements recorded, 44 were incoming from Extreme-Nord in Cameroon. A range of data was collected during the assessment to better inform on migrants’ nationalities, gender, reasons for moving, mode of transportation and timeline of movement as shown in Figures 1 to 4 below.
DTM’s Rapid Displacement Tracking (RDT) tool collects and reports on numbers of households forced to flee on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. In the first seven months of 2020, conflict and natural disasters have resulted in new patterns of displacement, particularly in Marib, Al Hudaydah, Al Dhale'e, and Taizz governorates. From 01 January 2020 - 22 Aug 2020, IOM Yemen DTM estimates that 20,126 Households or 120,756 Individuals have experienced displacement, at least once. Between the 16th Aug 2020 and 22nd of Aug 2020, IOM Yemen DTM tracked 264 Households or 1,584 individuals displaced at least once, the highest number of displacements were seen in: Marib (214 HH) – Marib (127 HH), Marib City (63 HH), Sirwah (24 HH) districts. Most displacements in the governorate were internal. Al Hudaydah (28 HH) – Al Khawkhah (28 HH) district. Most displacements in the governorate were internal. Taizz (13 HH) – Mawza (6 HH), Mashra'a Wa Hadnan (4 HH) districts. Most displacements in the governorate were internal. Most displacement resulted from increased conflict in the following Governorates and districts. Marib (214 HH) – Medghal (206 HH), Majzar (8 HH) districts. Al Hudaydah (29 HH) – Al Hawak (23 HH) district. Taizz (7 HH) – Maqbanah (5 HH), Mawza (1 HH), Al Ma'afer (1 HH) districts.
The objective of the Emergency Tracking Tool (ETT) is to collect information on large and sudden population movements. Information is collected through key informant interviews or direct observation. This dashboard provides information on movements which took place from 15 to 20 August 2020 in four sites located in Lac Province. On 15, 16 and 20 August 2020, with insecurity growing in Lac Province, fear of armed attacks led 1,727 households (6,456 individuals) to flee their villages located in the sous-préfectures of Ngouboua (Kaya département) and Kaiga-Kindjiria (Fouli département). They took refuge in the sous-préfectures of Liwa (Fouli département), Baga-Sola and Ngouboua (Kaya département). On 16 and 18 August 2020, following an armed attack which occurred on 10 August 2020, 257 households (1,365 individuals) fled the village of Fodio (Ngouboua sous-préfecture, Kaya département) to take refuge in the sous-préfectures of Ngouboua and Baga-Sola (Kaya département).
Le suivi des urgences a pour but de recueillir des informations sur les mouvements importants et soudains de populations. Les informations sont collectées à travers des entretiens avec des informateurs clés ou des observations directes. Ce tableau de bord présente des informations sur des mouvements de personnes survenus entre le 15 et le 20 août 2020 dans quatre sites de la province du Lac. Les 15, 16 et 20 août 2020, en raison de l’insécurité croissante dans la province du Lac, la crainte d’attaques armées a conduit 1 727 ménages (6 456 individus) à quitter leurs villages situés dans les sous-préfectures de Ngouboua (département de Kaya) et Kaiga-Kindjiria (département de Fouli) pour se réfugier dans les sous-préfectures de Liwa (département de Fouli), Baga-Sola et Ngouboua (département de Kaya). Les 16 et 18 août 2020, suite à une attaque armée survenue le 10 août 2020, 257 ménages (1 365 individus) ont quitté le village de Fodio (sous-préfecture de Ngouboua, département de Kaya) pour se réfugier dans les sous-préfectures de Ngouboua et Baga Sola (département de Kaya).
The crisis currently affecting the Lake Chad Basin states results from a complex combination of factors, including conflict with Non-State Armed Groups, extreme poverty, underdevelopment and a changing climate, which together have triggered significant displacement of populations. As of 21 August 2020, Cameroon, Chad, Niger and Nigeria were hosting an estimated 4,994,349 affected individuals made up of Internally Displaced Persons (IDPs), Refugees (both in- and out-of-camp), Returnees (Former IDPs and Returnees from abroad) and Third Country Nationals (TCNs). 76 per cent of the affected population (representing 3,793,691 individuals) were located in Nigeria, while 11 per cent resided in Cameroon (559,443 individuals), 8 per cent in Chad (377,697 individuals) and 5 per cent in Niger (263,518 individuals).
COVID-19 Situation Analysis is based on assessment of knowledge, impact and practice of internally displaced persons (IDPs) and impacted populations in the eight states of north west and north central Nigeria. Conducted alongside a detailed assessment by the Displacement Tracking Matrix (DTM) unit, the report covers the period 27 July to 8 August 2020 and reflects trends from Benue, Kaduna, Kano, Katsina, Nasarawa, Plateau, Sokoto and Zamfara states. In this first such assessment, 1,278 sites were assessed comprising of 64 camps and camp-like settings and 1,214 locations in the host communities. The State of Plateau had the highest number of sites assessed with a total of 234 sites, including both camp and host communities, followed by Katsina at 202 and Kaduna at 194 sites. The information collated and analyzed in this report includes awareness about COVID-19 among IDPs, means of getting information, level of awareness (in camps and in host communities, respectively), exposure to communication on risks associated with COVID-19, primary means of obtaining information about risks, mitigation measures taken (in camps and among host communities, respectively), health center’s COVID-19 readiness, any increase in threats of evictions, any disruption of services due to COVID-19, access to services (in camps and in host communities, respectively) and access to soap/water for the purpose of hand washing which is critical for stopping the spread of the virus. The pandemic is deepening the already precarious socioeconomic situation in the two zones which are afflicted with multidimensional crises -- rooted in historic ethno-social cleavages -- and exasperated by recent large scale displacements due to a range of reasons including crime.
Le Tchad fait, depuis 2015, l’objet d’attaques perpétrées par des groupes armés présents dans le bassin du Lac Tchad (Cameroun, Niger, Nigeria, Tchad), ayant engendré des déplacements massifs de populations, aussi bien internes que transfrontaliers. Au Tchad, l’OIM met en œuvre sa Matrice de suivi des déplacements (DTM, Displacement Tracking Matrix) dans la province du Lac depuis mai 2015 pour mesurer l’évolution du nombre, des profils et des besoins des populations déplacées suite à cette crise, afin de mieux orienter les programmes humanitaires et de développement. Ce tableau de bord présente les résultats d'évaluations menées auprès d'informateurs clés entre le 23 juin et le 21 juillet 2020 dans 221 lieux de déplacement. Pendant la collecte de données, une augmentation de 26 pour cent du nombre de Personnes Déplacées Internes (PDI) a été observée par rapport au round 11. Outre l’élargissement de la couverture géographique, cette hausse peut s’expliquer par la dégradation des conditions de sécurité (principalement dans les sous-préfectures de Ngouboua et Kaiga-Kindjiria) ayant entraîné de nombreux déplacements préventifs, ainsi que par plusieurs inondations ayant suivi de fortes pluies dans la province du Lac. Par ailleurs, le nombre de Ressortissants de Pays Tiers (RPT) a augmenté de 85 pour cent, notamment suite au déplacement de plusieurs milliers de pêcheurs qui ont fui les zones frontalières situées au Niger et au Nigeria, pour se réfugier au sein de la Province du Lac, dans des zones moins instables sécurisées par les forces armées. Comme lors du round précédent, des indicateurs relatifs à la connaissance de la pandémie de COVID-19 et à la mise en place de mesures préventives ont été inclus dans la collecte.
Since 2015, Chad has been the target of repeated attacks by armed groups conducting an insurgency in the Lake Chad Basin (Cameroon, Chad, Niger, Nigeria), which have caused significant internal and cross-border population displacements. In Chad, IOM has been implementing the Displacement Tracking Matrix (DTM) since May 2015 in Lac Province to gather updates on the number, profiles and needs of populations displaced due to the crisis, in order to inform humanitarian and development programmes. This dashboard presents key results from DTM assessments carried out with key informants between 23 June and 21 July 2020 in 221 displacement locations. During this round of data collection, a 26 per cent increase in the number of Internally Displaced Persons (IDPs) was observed as compared to round 11. Apart from a wider geographic coverage, this increase can be explained by the rise in preventive displacement movements triggered by worsening security conditions (mainly in Ngouboua, Kaiga-Kindjiria and Kangalom sous-préfectures), as well as by floods caused by heavy rainfall in Lac Province. In addition, the number of Third-Country Nationals (TCNs) grew by 85 per cent, notably due to the fact that several thousand fishermen fled border areas in Niger and Nigeria to take refuge in Lac Province, in more stable areas safeguarded by security forces. As in the last round, key indicators related to COVID-19 awareness and preparedness were included in data collection.